Triple

T10215321
Position Surface form Disambiguated ID Type / Status
Subject Margaret E242425 entity
Predicate hasCastMember P2308 FINISHED
Object Michael Ealy E71672 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michael Ealy | Statement: [Margaret, hasCastMember, Michael Ealy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ealy
Context triple: [Margaret, hasCastMember, Michael Ealy]
  • A. Michael Ealy chosen
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • B. Jason Mitchell
    Jason Mitchell is an American actor known for his breakout role as Eazy-E in "Straight Outta Compton" and appearances in films such as "Mudbound" and "Kong: Skull Island."
  • C. James Clemons
    James Clemons is an individual whose specific public notability or distinguishing background is not clearly identifiable from the given information.
  • D. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • E. Eriq La Salle
    Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa273bdc8190bc4cf67a7923cebc completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652f1ffb88190986ea53749fc5e03 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:04 a.m.